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Article

CBNA: A control theory based method for identifying coding and non-coding cancer drivers.

PLoS computational biology - 1 Dec 2019

Pham Vu V H, Liu Lin, Bracken Cameron P, Goodall Gregory J, Long Qi, Li Jiuyong, Le Thuc D

Abstract excerpt

A key task in cancer genomics research is to identify cancer driver genes. As these genes initialise and progress cancer, understanding them is critical in designing effective cancer interventions. Although there are several methods developed to discover cancer drivers, most of them only identify coding drivers. However, non-coding RNAs can regulate driver mutations to develop cancer. Hence, novel methods are...

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PMID: 31790386
DOI: 10.1371/journal.pcbi.1007538
PMCID: PMC6907873

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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